Synchronization domains in two coupled neural networks. - Roberto C. Budzinski; Bruno R. R. Boaretto; Thiago de Lima Prado; Sergio Roberto Lopes (Commun. Nonlinear Sci. Numer. Simul., 2019)

Evaluating Temporal Correlations in Time Series Using Permutation Entropy, Ordinal Probabilities and Machine Learning. - Bruno R. R. Boaretto; Roberto C. Budzinski; Kalel L. Rossi; Thiago de Lima Prado; Sergio Roberto Lopes; Cristina Masoller (Entropy, 2021)

Symbolic analysis of bursting dynamical regimes of Rulkov neural networks. - Roberto C. Budzinski; Sergio Roberto Lopes; Cristina Masoller (Neurocomputing, 2021)

Synchronization properties, malleability of synchronization, and nonstationary states ein neural networks - Roberto C. Budzinski (2021)

An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. - Roberto C. Budzinski; Alexandra N. Busch; Samuel Mestern; Erwan Martin; Luisa H. B. Liboni; Federico W. Pasini; Ján Minác; Todd Coleman; Wataru Inoue; Lyle E. Muller (CoRR, 2023)

Image segmentation with traveling waves in an exactly solvable recurrent neural network. - Luisa H. B. Liboni; Roberto C. Budzinski; Alexandra N. Busch; Sindy Löwe; Thomas A. Keller 001; Max Welling; Lyle E. Muller (CoRR, 2023)

Equilibria in Kuramoto Oscillator Networks: An Algebraic Approach. - Tung T. Nguyen; Roberto C. Budzinski; Jacqueline Ðoàn; Federico W. Pasini; Ján Minác; Lyle E. Muller (SIAM J. Appl. Dyn. Syst., 2023)

Traveling Waves Integrate Spatial Information Through Time. - Mozes Jacobs; Roberto C. Budzinski; Lyle Muller; Demba E. Ba; T. Anderson Keller 001 (CoRR, 2025)